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Renault Group

PFE27 - Smart factory test campaign automation using AI H/F

Grand Tunis

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hirly's read of this role

Seniority
Mid level
Country
TN
Work mode
On-site / unstated
First seen by hirly
6 Nov 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Company

AMPERE SOFTWARE TECHNOLOGY TUNISIA

Job Description

Context :

Translating high-level operational needs into executable diagnostic scenarios is often a manual, time-consuming, and error-prone process. It relies heavily on expert knowledge to identify the appropriate sequence of elementary diagnostic requests and interpret the expected results.

Recent advances in Artificial Intelligence, combined with domain-specific knowledge bases and rule-based reasoning systems, provide an opportunity to automate this process. An intelligent diagnostic engine could understand operator intent through a user-friendly interface and automatically generate structured diagnostic test campaigns.

Such a solution would significantly improve the productivity of manufacturing, validation, and investigation teams while reducing the expertise required to create and execute complex diagnostic workflows. It would also promote standardization, repeatability, and scalability of diagnostic operations across different vehicle programs.

The objective of this project is to design and develop an intelligent interpreter capable of transforming operator needs into structured diagnostic test campaigns executable by an embedded vehicle diagnostic platform. The solution will combine a domain knowledge base, a configurable rule engine, and Artificial Intelligence techniques to understand operator intent and automatically translate it into sequences of elementary diagnostic requests. User interactions will be performed through an intuitive Human-Machine Interface (HMI).

The final goal is to enable non-expert users to create advanced diagnostic campaigns from natural language or semi-structured requests, thereby simplifying diagnostic operations while increasing efficiency, consistency, and accessibility.

Your role :

Diagnostic Interpretation Engine Development

Intelligent Human-Machine Interface with AI-Based Recommendations

Validation and Demonstration

Key skills :

Strong skills in software development (Python, Java), data processing and analysis, and basic knowledge of AI and Machine Learning. Knowledge of embedded systems, automotive diagnostics, and vehicle communication protocols is a plus. Autonomy, technical curiosity, and strong analytical skills are also expected.

Job Family

Communication

  • Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves.
  • We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form.

In order to follow in real time the evolution of your applications and to stay in touch with us, we invite you to create a candidate account. This will take you no more than a minute and will also make it easier for you to apply in the future.

By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the Recruitment Privacy Information Policy .

Original posting on Renault Group's site ↗

Listed on hirly, a job board. hirly is not the employer: Renault Group is hiring for this role.

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